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Objective To identify and explore differences in spending and utilization of key health services at the end of life among hip fracture patients across seven developed countries. Data Sources Individual-level claims data from the inpatient and outpatient health care sectors compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC). Study Design We retrospectively analyzed utilization and spending from acute hospital care, emergency department, outpatient primary care and specialty physician visits, and outpatient drugs. Patterns of spending and utilization were compared in the last 30, 90, and 180 days across Australia, Canada, England, Germany, New Zealand, Spain, and the United States. We employed linear regression models to measure age- and sex-specific effects within and across countries. In addition, we analyzed hospital-centricity, that is, the days spent in hospital and site of death. Data Collection/Extraction Methods We identified patients who sustained a hip fracture in 2016 and died within 12 months from date of admission. Principal Findings Resource use, costs, and the proportion of deaths in hospital showed large variability being high in England and Spain, while low in New Zealand. Days in hospital significantly decreased with increasing age in Canada, Germany, Spain, and the United States. Hospital spending near date of death was significantly lower for women in Canada, Germany, and the United States. The age gradient and the sex effect were less pronounced in utilization and spending of emergency care, outpatient care, and drugs. Conclusions Across seven countries, we find important variations in end-of-life care for patients who sustained a hip fracture, with some differences explained by sex and age. Our work sheds important insights that may help ongoing health policy discussions on equity, efficiency, and reimbursement in health care systems.

AIM This study aimed to investigate the variability by ethnicity, socio-economic status and location in coverage and testability of the universal B4 School Check vision screening in children aged 4-5 years in New Zealand. METHODS Aggregated data from 1 July 2011 to 30 June 2015 were sourced from the Statistics New Zealand Integrated Data Infrastructure. Sourced data were attendance at vision screening and record of visual acuity measurement stratified by ethnicity, socio-economic status and region. Children who attended screening were compared with the eligible population (n = 252 279) to calculate coverage. Testability was determined by comparing the children with a recorded visual acuity measurement in each eye with those who attended screening. RESULTS Overall vision screening coverage was 89.5% and testability was 97.8%. Ethnic differences were evident for coverage (85.7% in Pacific children, 92.5% in European children) and testability (96.4% in Māori children, 98.4% in European children). Socio-economic differences were also observed for coverage (86.4% in most deprived areas, 92.4% in least deprived), testability (most deprived 96.3%, least deprived 98.7%) and by region (coverage range of 80.4-96.4% and testability range of 93.2-99.3%). CONCLUSIONS Significant disparities exist in vision screening coverage and testability for New Zealand pre-school children. Equity-focused initiatives are required to improve outcomes for children from Māori and Pacific families, and those from households in lower socio-economic areas. Understanding region-specific challenges and successes could support more equitable access to vision screening between regions. Further research is required to determine sources of inequities and to investigate interactions between ethnicity, socio-economic status and location.

ObjectiveTo compare within-country variation of health care utilization and spending of patients with chronic heart failure (CHF) and diabetes across countries.Data sourcesPatient-level linked data sources compiled by the International Collaborative on Costs, Outcomes, and Needs in Care across nine countries: Australia, Canada, England, France, Germany, New Zealand, Spain, Switzerland, and the United States.Data collection methodsPatients were identified in routine hospital data with a primary diagnosis of CHF and a secondary diagnosis of diabetes in 2015/2016.Study designWe calculated the care consumption of patients after a hospital admission over a year across the care pathway-ranging from primary care to home health nursing care. To compare the distribution of care consumption in each country, we use Gini coefficients, Lorenz curves, and female-male ratios for eight utilization and spending measures.Principal findingsIn all countries, rehabilitation and home nursing care were highly concentrated in the top decile of patients, while the number of drug prescriptions were more uniformly distributed. On average, the Gini coefficient for drug consumption is about 0.30 (95% confidence interval (CI): 0.27-0.36), while it is, 0.50 (0.45-0.56) for primary care visits, and more than 0.75 (0.81-0.92) for rehabilitation use and nurse visits at home (0.78; 0.62-0.9). Variations in spending were more pronounced than in utilization. Compared to men, women spend more days at initial hospital admission (+5%, 1.01-1.06), have a higher number of prescriptions (+7%, 1.05-1.09), and substantially more rehabilitation and home care (+20% to 35%, 0.79-1.6, 0.99-1.64), but have fewer visits to specialists (-10%; 0.84-0.97).ConclusionsDistribution of health care consumption in different settings varies within countries, but there are also some common treatment patterns across all countries. Clinicians and policy makers need to look into these differences in care utilization by sex and care setting to determine whether they are justified or indicate suboptimal care.

Contains fulltext : 245434.pdf (Publisher’s version ) (Open Access) OBJECTIVE: This study explores differences in spending and utilization of health care services for an older person with frailty before and after a hip fracture. DATA SOURCES: We used individual-level patient data from five care settings. STUDY DESIGN: We compared utilization and spending of an older person aged older than 65 years for 365 days before and after a hip fracture across 11 countries and five domains of care as follows: acute hospital care, primary care, outpatient specialty care, post-acute rehabilitative care, and outpatient drugs. Utilization and spending were age and sex standardized.. DATA COLLECTION/EXTRACTION METHODS: The data were compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) across 11 countries as follows: Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States. PRINCIPAL FINDINGS: The sample ranged from 1859 patients in Spain to 42,849 in France. Mean age ranged from 81.2 in Switzerland to 84.7 in Australia. The majority of patients across countries were female. Relative to other countries, the United States had the lowest inpatient length of stay (11.3), but the highest number of days were spent in post-acute care rehab (100.7) and, on average, had more visits to specialist providers (6.8 per year) than primary care providers (4.0 per year). Across almost all sectors, the United States spent more per person than other countries per unit ($13,622 per hospitalization, $233 per primary care visit, $386 per MD specialist visit). Patients also had high expenditures in the year prior to the hip fracture, mostly concentrated in the inpatient setting. CONCLUSION: Across 11 high-income countries, there is substantial variation in health care spending and utilization for an older person with frailty, both before and after a hip fracture. The United States is the most expensive country due to high prices and above average utilization of post-acute rehab care.

Contains fulltext : 245458.pdf (Publisher’s version ) (Open Access) OBJECTIVE: The objective of this study was to explore cross-country differences in spending and utilization across different domains of care for a multimorbid persona with heart failure and diabetes. DATA SOURCES: We used individual-level administrative claims or registry data from inpatient and outpatient health care sectors compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) across 11 countries: Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States (US). DATA COLLECTION/EXTRACTION METHODS: Data collected by ICCONIC partners. STUDY DESIGN: We retrospectively analyzed age-sex standardized utilization and spending of an older person (65-90 years) hospitalized with a heart failure exacerbation and a secondary diagnosis of diabetes across five domains of care: hospital care, primary care, outpatient specialty care, post-acute rehabilitative care, and outpatient drugs. PRINCIPAL FINDINGS: Sample sizes ranged from n = 1270 in Spain to n = 21,803 in the United States. Mean age (standard deviation [SD]) ranged from 76.2 (5.6) in the Netherlands to 80.3 (6.8) in Sweden. We observed substantial variation in spending and utilization across care settings. On average, England spent $10,956 per person in hospital care while the United States spent $30,877. The United States had a shorter length of stay over the year (18.9 days) compared to France (32.9) and Germany (33.4). The United States spent more days in facility-based rehabilitative care than other countries. Australia spent $421 per person in primary care, while Spain (Aragon) spent $1557. The United States and Canada had proportionately more visits to specialist providers than primary care providers. Across almost all sectors, the United States spent more than other countries, suggesting higher prices per unit. CONCLUSION: Across 11 countries, there is substantial variation in health care spending and utilization for a complex multimorbid persona with heart failure and diabetes. Drivers of spending vary across countries, with the United States being the most expensive country due to high prices and higher use of facility-based rehabilitative care.

Contains fulltext : 245435.pdf (Publisher’s version ) (Open Access) OBJECTIVE: This study explores variations in outcomes of care for two types of patient personas-an older frail person recovering from a hip fracture and a multimorbid older patient with congestive heart failure (CHF) and diabetes. DATA SOURCES: We used individual-level patient data from 11 health systems. STUDY DESIGN: We compared inpatient mortality, mortality, and readmission rates at 30, 90, and 365 days. For the hip fracture persona, we also calculated time to surgery. Outcomes were standardized by age and sex. DATA COLLECTION/EXTRACTION METHODS: Data was compiled by the International Collaborative on Costs, Outcomes and Needs in Care across 11 countries for the years 2016-2017 (or nearest): Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States. PRINCIPAL FINDINGS: The hip sample across ranged from 1859 patients in Aragon, Spain, to 42,849 in France. Mean age ranged from 81.2 in Switzerland to 84.7 in Australia, and the majority of hip patients across countries were female. The congestive heart failure (CHF) sample ranged from 742 patients in England to 21,803 in the United States. Mean age ranged from 77.2 in the United States to 80.3 in Sweden, and the majority of CHF patients were males. Average in-hospital mortality across countries was 4.1%. for the hip persona and 6.3% for the CHF persona. At the year mark, the mean mortality across all countries was 25.3% for the hip persona and 32.7% for CHF persona. Across both patient types, England reported the highest mortality at 1 year followed by the United States. Readmission rates for all periods were higher for the CHF persona than the hip persona. At 30 days, the average readmission rate for the hip persona was 13.8% and 27.6% for the CHF persona. CONCLUSION: Across 11 countries, there are meaningful differences in health system outcomes for two types of patients.

Objective/background Sleep problems in children on the autism spectrum are prevalent and persistent. Such problems are the result of a combination of biopsychosocial factors, including abnormal melatonin secretion. Exogenous melatonin is an empirically supported and popular treatment for sleep problems. However, we know little about rates of melatonin dispensing and associated variables. This study investigated rates of melatonin dispensing and the sociodemographic and child characteristics associated with its use in New Zealand. Methods This nationwide cross-sectional study used linked administrative health data obtained via the Integrated Data Infrastructure (IDI). Data were obtained for 11,202, 0–18 year old children on the autism spectrum. Descriptive data, and adjusted and unadjusted risk ratios, were calculated for sociodemographic and child characteristics. Results Melatonin is accessed by almost one quarter of children on the autism spectrum in New Zealand, with higher observed rates among females and those aged between 5 and 11 years, of European ethnicity, and presenting with co-occurring mental health conditions. Conclusions Findings are largely consistent with research investigating both sleep disturbances and psychotropic drug use among children on the autism spectrum. High rates of melatonin use, age- and sex-related differences in its use, and the complexity associated with the presence of co-occurring conditions necessitates development of practice guidelines for melatonin dispensing. Further investigation into the duration of melatonin use and the interaction between child characteristics, co-occurring conditions, sociodemographic variables and melatonin dispensing is warranted.

Background In a novel endeavour we aimed to develop a clinically relevant case identification method for use in research about the mental health of children and young people in New Zealand using the Integrated Data Infrastructure (IDI). The IDI is a linked individual-level database containing New Zealand government and survey microdata. Methods We drew on diagnostic and pharmaceutical information contained within five secondary care service use and medication dispensing datasets to identify probable cases of mental health and related problems. A systematic classification and refinement of codes, including restrictions by age, was undertaken to assign cases into 13 different mental health problem categories. This process was carried out by a panel of eight specialists covering a diverse range of mental health disciplines (a clinical psychologist, four child and adolescent psychiatrists and three academic researchers in child and adolescent mental health). The case identification method was applied to the New Zealand youth estimated resident population for the 2014/15 fiscal year. Results Over 82,000 unique individuals aged 0–24 with at least one specified mental health or related problem were identified using the case identification method for the 2014/15 fiscal year. The most prevalent mental health problem subgroups were emotional problems (31,266 individuals), substance problems (16,314), and disruptive behaviours (13,758). Overall, the pharmaceutical collection was the largest source of case identification data (59,862). Conclusion This study demonstrates the value of utilising IDI data for mental health research. Although the method is yet to be fully validated, it moves beyond incidence rates based on single data sources, and provides directions for future use, including further linkage of data to the IDI.

The rate of overdose related to the use of licit and illicit opioids has drastically increased over the last decade in the United States. The epicenter has been West Virginia with the highest rates of overdoses accounting for 41.5 deaths per 100 000 people among the 33 091 deaths in 2015. The purpose of this research was to examine and analyze the cause of the opioid epidemic and subsequent responses to it in the state of West Virginia. This study conducted a literature review using 37 references that were published between the years 2009 and 2018, complemented with a semistructured interview. The number of people injecting drugs has increased from 36% in 2005 to 54% in 2015. The total US cost of prescription opioid abuse in 2011 has been estimated at $25 billion, and criminal justice system costs to $5.1 billion. The reasons for this opioid epidemic incidence in West Virginia have been a combination of sociocultural factors, a depressed economy, lack of education, and a high rate of prescribing and dispensing of prescription opioids.